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    "\n",
    "## GeostatsPy: a Set of Functions for GSLIB: Geostatistical Library into Python Workflows\n",
    "\n",
    "\n",
    "\n",
    "### Michael Pyrcz, Associate Professor, University of Texas at Austin \n",
    "\n",
    "#### [Twitter/@GeostatsGuy](https://twitter.com/geostatsguy) | [GitHub/GeostatsGuy](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube Lectures](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you get a package import error, you may have to first install some of these packages. This can usually be accomplished by opening up a command window on Windows and then typing 'python -m pip install [package-name]'. More assistance is available with the respective package docs.  \n",
    "\n",
    "#### Explanation of GeostatsPy\n",
    "\n",
    "GeostatsPy includes functions that run 2D workflows in GSLIB from Python (i.e. low tech wrappers) and in some cases reimplementations of GSLIB methods, along with utilities to move between GSLIB's Geo-EAS data sets and DataFrames, and grids and 2D Numpy arrays respectively and other useful operations such as resampling from regular datasets and rescaling distributions.  Here's a sumary list of functions avaible.\n",
    "\n",
    "0. import and export from GSLIB's Geo-EAS format\n",
    "1. histograms\n",
    "2. location maps and combined location map and pixel plot\n",
    "3. affine and nscore distribution transformations\n",
    "4. variogram calculation and modeling\n",
    "5. sgsim unconditional and conditional\n",
    "6. cosgsim unconditonal\n",
    "7. regular, random and user-specified resampling from a grid \n",
    "\n",
    "The reimplimentations are mainly of the visualizations using the standard GSLIB parametric inputs and Matplotlib back end. The low tech wrappers simply write the GSLIB parameters, run the GSLIB executables and then read in the GSLIB output. \n",
    "\n",
    "Why do it this way? I wanted a set of functions for working with the very robust and numerically efficient GSLIB Geostatistical Library (Deutsch and Journel, 1998) from Python.  There are other current solutions in Python.  I found that these solutions are either proprietary (not open source), not maintained or missing vital functionality; therefore, I have not been able to use these other solutions to teach modeling workflows to students with little or no programming experience.  Imagine getting 55 undergraduate students to role back ot a previous version on Python because a single dependency of an available package is not available in a current Python version.  Image a student about to submit an assignment that won't work immdeiately before submission because of an update. I need methods for my students that just work, are reliable and do not require students to complete a more complicated environment setup.\n",
    "\n",
    "Deutsch and Journel (1998) gave the community GSLIB, an extremely robust and flexible set of tools to build spatial modeling workflows.  I have spent almost 20 years working with GSLIB along with a wide variety of subsurface modeling software. The powerful flexibility of GSLIB may be lost in methods that attempt to 'can' the inputs and parameters into complicated and hard to work with objects or attempt to combine the programs into a single program.  I love open source for teaching the theory, students must see under the hood!  The concept of basic building blocks and simple, common inputs is essential to GSLIB.  I tried to preserve this by putting together functions with the same conventions as GSLIB, the result is a set of functions that (1) are practical for my students to use and (2) will move the GSLIB veterans into Python workflow construction. Honestly, I did nothing original, but that was my intention.  \n",
    "\n",
    "Of course, I could have properly wrapped GSLIB, built a proper package and maintained it as open source free to all.    I address this one day or maybe someone else will do that. That would be good for our community.  I'm just a new professor keeping barely keeping up with providing new quality classes and supporting materials to students, supporting my graduate students and finding funding.  Providing tools to support the community is something I believe in, I learned that as a PhD student with the great opportunity to be supervised by Clayton Deutsch.  I'll do what I can.\n",
    "\n",
    "#### The GeostatsPy Functions\n",
    "\n",
    "The next block includes all the current functions.  To use them save this as a .py file and import it at the beginning of your Python workflow. You could also just include them in the workflow as I do below.  The executables associated with the functions should be in the current working directory.  These include GSLIB programs.\n",
    "\n",
    "1. nscore.exe\n",
    "2. declus.exe\n",
    "3. gam.exe\n",
    "4. gamv.exe\n",
    "5. vmodel.exe\n",
    "6. kb2d.exe\n",
    "7. sgsim.exe\n",
    "\n",
    "The source for these are available from GSLIB.com.  If you would like to get the executables, ready to use without any need to compile them, go to GSLIB.com for Windows and Linux.  I failed to find any Mac OS X executables so my Ph.D. student Wendi Liu compiled them for us (thank you Wendi!) and we have posted them here https://github.com/GeostatsGuy/GSLIB_MacOS.  If folks on Windows are encountering missing DLL's, I could post static builds.  Wendi provided instructions to help Mac users with missing DLL issues at that same location above.\n",
    "\n",
    "The functions are followed by a set of demonstrations.  There is no attempt to build a comprehensive workflow nor demonstrate best practice, but the demonstrations should provide examples usecases to help you build your own workflows and benchmarks for testing.\n",
    "\n",
    "#### Required Libraries\n",
    "\n",
    "GeostatPy functions require some packages including:\n",
    "\n",
    "1. NumPy\n",
    "2. Pandas\n",
    "3. Matplotlib\n",
    "\n",
    "along with miscellaneous operating system interfaces (os) and pseudo-random numbers (rand).  By design these are all standard and should be available with standard Python installs (e.g. https://www.anaconda.com/download/).\n",
    "\n",
    "#### Images \n",
    "\n",
    "The graphical methods have 2 variants.  '_ST' specifies that function is suitable for building subplots (stacked / combined images) while those without '_ST' are for stand-alone images (output in the output block and as an image file). The resolution and image file type are specified at the top of the GeostatPy functions.   \n",
    "\n",
    "#### Assistance Welcome\n",
    "\n",
    "Found an issue (I'm sure there are issues!)? Got a new idea? Want to work on this? Let me know, submit revisions, I'm happy to collaborate.\n"
   ]
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   "source": [
    "# Some GeostatsPy Functions - by Michael Pyrcz, maintained at https://git.io/fNgR7.\n",
    "# A set of functions to provide access to GSLIB in Python.\n",
    "# GSLIB executables: nscore.exe, declus.exe, gam.exe, gamv.exe, vmodel.exe, kb2d.exe & sgsim.exe must be in the working directory \n",
    "import pandas as pd\n",
    "import os\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt                          \n",
    "import random as rand\n",
    "image_type = 'tif'; dpi = 600\n",
    "\n",
    "# utility to convert 1D or 2D numpy ndarray to a GSLIB Geo-EAS file for use with GSLIB methods   \n",
    "def ndarray2GSLIB(array,data_file,col_name):\n",
    "    file_out = open(data_file, \"w\")\n",
    "    file_out.write(data_file + '\\n')  \n",
    "    file_out.write('1 \\n')  \n",
    "    file_out.write(col_name  + '\\n') \n",
    "    if array.ndim == 2:\n",
    "        ny = (array.shape[0])\n",
    "        nx = (array.shape[1])\n",
    "        ncol = 1\n",
    "        for iy in range(0, ny):\n",
    "            for ix in range(0, nx):\n",
    "                file_out.write(str(array[ny-1-iy,ix])+ '\\n')        \n",
    "    elif array.ndim == 1:\n",
    "        nx = len(array)        \n",
    "        for ix in range(0, nx):\n",
    "            file_out.write(str(array[ix])+ '\\n')             \n",
    "    else:       \n",
    "        Print(\"Error: must use a 2D array\")            \n",
    "        file_out.close()\n",
    "        return            \n",
    "    file_out.close()\n",
    "\n",
    "# utility to convert GSLIB Geo-EAS files to a 1D or 2D numpy ndarray for use with Python methods\n",
    "def GSLIB2ndarray(data_file,kcol,nx,ny): \n",
    "    colArray = []\n",
    "    if ny > 1:\n",
    "        array = np.ndarray(shape=(ny,nx),dtype=float,order='F')\n",
    "    else:\n",
    "        array = np.zeros(nx)    \n",
    "    with open(data_file) as myfile:   # read first two lines\n",
    "        head = [next(myfile) for x in range(2)]\n",
    "        line2 = head[1].split()\n",
    "        ncol = int(line2[0])          # get the number of columns\n",
    "        for icol in range(0, ncol):   # read over the column names\n",
    "            head = [next(myfile) for x in range(1)]\n",
    "            if icol == kcol:\n",
    "                col_name = head[0].split()[0]       \n",
    "        if ny > 1:\n",
    "            for iy in range(0,ny):\n",
    "                for ix in range(0,nx):\n",
    "                    head = [next(myfile) for x in range(1)]\n",
    "                    array[ny-1-iy][ix] = head[0].split()[kcol]\n",
    "        else:\n",
    "            for ix in range(0,nx):\n",
    "                head = [next(myfile) for x in range(1)]\n",
    "                array[ix] = head[0].split()[kcol]\n",
    "    return array,col_name\n",
    "\n",
    "# utility to convert pandas DataFrame to a GSLIB Geo-EAS file for use with GSLIB methods\n",
    "def Dataframe2GSLIB(data_file,df):\n",
    "    colArray = []\n",
    "    colArray = df.columns\n",
    "    ncol = len(df.columns) \n",
    "    nrow = len(df.index)\n",
    "    file_out = open(data_file, \"w\")\n",
    "    file_out.write(data_file + '\\n')  \n",
    "    file_out.write(str(ncol) + '\\n') \n",
    "    for icol in range(0, ncol): \n",
    "        file_out.write(df.columns[icol]  + '\\n')    \n",
    "    for irow in range(0, nrow):\n",
    "        for icol in range(0, ncol):\n",
    "            file_out.write(str(df.iloc[irow,icol])+ ' ')  \n",
    "        file_out.write('\\n')\n",
    "    file_out.close()   \n",
    "\n",
    "# utility to convert GSLIB Geo-EAS files to a pandas DataFrame for use with Python methods\n",
    "def GSLIB2Dataframe(data_file):\n",
    "    colArray = []\n",
    "    with open(data_file) as myfile:   # read first two lines\n",
    "        head = [next(myfile) for x in range(2)]\n",
    "        line2 = head[1].split()\n",
    "        ncol = int(line2[0])\n",
    "        for icol in range(0, ncol):\n",
    "            head = [next(myfile) for x in range(1)]\n",
    "            colArray.append(head[0].split()[0])\n",
    "        data = np.loadtxt(myfile, skiprows = 0)\n",
    "        df = pd.DataFrame(data)\n",
    "        df.columns = colArray\n",
    "        return df\n",
    "\n",
    "# histogram, reimplemented in Python of GSLIB hist with MatPlotLib methods, displayed and as image file\n",
    "def hist(array,xmin,xmax,log,cumul,bins,weights,xlabel,title,fig_name):\n",
    "    plt.figure(figsize=(8,6))\n",
    "    cs = plt.hist(array, alpha = 0.2, color = 'red', edgecolor = 'black', bins=bins, range = [xmin,xmax], weights = weights, log = log, cumulative = cumul)\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel); plt.ylabel('Frequency')  \n",
    "    plt.savefig(fig_name + '.' + image_type,dpi=dpi)\n",
    "    plt.show()\n",
    "    return\n",
    "\n",
    "# histogram, reimplemented in Python of GSLIB hist with MatPlotLib methods (version for subplots)\n",
    "def hist_st(array,xmin,xmax,log,cumul,bins,weights,xlabel,title):  \n",
    "    cs = plt.hist(array, alpha = 0.2, color = 'red', edgecolor = 'black', bins=bins, range = [xmin,xmax], weights = weights, log = log, cumulative = cumul)\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel); plt.ylabel('Frequency') \n",
    "    return\n",
    "\n",
    "# location map, reimplemention in Python of GSLIB locmap with MatPlotLib methods\n",
    "def locmap(df,xcol,ycol,vcol,xmin,xmax,ymin,ymax,vmin,vmax,title,xlabel,ylabel,vlabel,cmap,fig_name):\n",
    "    ixy = 0 \n",
    "    plt.figure(figsize=(8,6))    \n",
    "    im = plt.scatter(df[xcol],df[ycol],s=None, c=df[vcol], marker=None, cmap=cmap, norm=None, vmin=vmin, vmax=vmax, alpha=0.8, linewidths=0.8, verts=None, edgecolors=\"black\")\n",
    "    plt.title(title)\n",
    "    plt.xlim(xmin,xmax)\n",
    "    plt.ylim(ymin,ymax)    \n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel(ylabel)\n",
    "    cbar = plt.colorbar(im, orientation = 'vertical',ticks=np.linspace(vmin,vmax,10))\n",
    "    cbar.set_label(vlabel, rotation=270, labelpad=20)\n",
    "    plt.savefig(fig_name + '.' + image_type,dpi=dpi)\n",
    "    plt.show()\n",
    "    return im\n",
    "\n",
    "# location map, reimplemention in Python of GSLIB locmap with MatPlotLib methods (version for subplots)\n",
    "def locmap_st(df,xcol,ycol,vcol,xmin,xmax,ymin,ymax,vmin,vmax,title,xlabel,ylabel,vlabel,cmap):\n",
    "    ixy = 0   \n",
    "    im = plt.scatter(df[xcol],df[ycol],s=None, c=df[vcol], marker=None, cmap=cmap, norm=None, vmin=vmin, vmax=vmax, alpha=0.8, linewidths=0.8, verts=None, edgecolors=\"black\")\n",
    "    plt.title(title)\n",
    "    plt.xlim(xmin,xmax)\n",
    "    plt.ylim(ymin,ymax)    \n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel(ylabel)\n",
    "    cbar = plt.colorbar(im, orientation = 'vertical',ticks=np.linspace(vmin,vmax,10))\n",
    "    cbar.set_label(vlabel, rotation=270, labelpad=20)\n",
    "    return im           \n",
    "\n",
    "# pixel plot, reimplemention in Python of GSLIB pixelplt with MatPlotLib methods\n",
    "def pixelplt(array,xmin,xmax,ymin,ymax,step,vmin,vmax,title,xlabel,ylabel,vlabel,cmap,fig_name):\n",
    "    print(str(step))\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax, ymin, -1*step))\n",
    "    plt.figure(figsize=(8,6))\n",
    "    im = plt.contourf(xx,yy,array,cmap=cmap,vmin=vmin,vmax=vmax,levels=np.linspace(vmin,vmax,100))\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel(ylabel)\n",
    "    cbar = plt.colorbar(im,orientation = 'vertical',ticks=np.linspace(vmin,vmax,10))\n",
    "    cbar.set_label(vlabel, rotation=270, labelpad=20)\n",
    "    plt.savefig(fig_name + '.' + image_type,dpi=dpi)\n",
    "    plt.show()\n",
    "    return im\n",
    "\n",
    "# pixel plot, reimplemention in Python of GSLIB pixelplt with MatPlotLib methods(version for subplots)\n",
    "def pixelplt_st(array,xmin,xmax,ymin,ymax,step,vmin,vmax,title,xlabel,ylabel,vlabel,cmap):\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax, ymin, -1*step))\n",
    "    ixy = 0 \n",
    "    x = [];y = []; v = [] # use dummy since scatter plot controls legend min and max appropriately and contour does not!\n",
    "    cs = plt.contourf(xx,yy,array,cmap=cmap,vmin=vmin,vmax=vmax,levels = np.linspace(vmin,vmax,100))\n",
    "    im = plt.scatter(x,y,s=None, c=v, marker=None,cmap=cmap, vmin=vmin, vmax=vmax, alpha=0.8, linewidths=0.8, verts=None, edgecolors=\"black\")\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel(ylabel)\n",
    "    plt.clim(vmin,vmax)\n",
    "    cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "    cbar.set_label(vlabel, rotation=270, labelpad=20)\n",
    "    return cs\n",
    "\n",
    "# pixel plot, reimplemention in Python of GSLIB pixelplt with MatPlotLib methods (version for subplots, log scale)\n",
    "def pixelplt_log_st(array,xmin,xmax,ymin,ymax,step,vmin,vmax,title,xlabel,ylabel,vlabel,cmap):\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax, ymin, -1*step))\n",
    "    ixy = 0 \n",
    "    x = [];y = []; v = [] # use dummy since scatter plot controls legend min and max appropriately and contour does not!\n",
    "    color_int = np.r_[np.log(vmin):np.log(vmax):0.5]\n",
    "    color_int = np.exp(color_int)\n",
    "    cs = plt.contourf(xx,yy,array,cmap=cmap,vmin=vmin,vmax=vmax,levels = color_int, norm=matplotlib.colors.LogNorm(vmin=vmin, vmax=vmax))\n",
    "    im = plt.scatter(x,y,s=None, c=v, marker=None,cmap=cmap, vmin=vmin, vmax=vmax, alpha=0.8, linewidths=0.8, verts=None, edgecolors=\"black\",norm=matplotlib.colors.LogNorm(vmin=vmin, vmax=vmax))\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel(ylabel)\n",
    "    #plt.clim(vmin,vmax)\n",
    "    cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "    cbar.set_label(vlabel, rotation=270, labelpad=20)\n",
    "    return cs\n",
    "\n",
    "# pixel plot and location map, reimplementation in Python of a GSLIB MOD with MatPlotLib methods\n",
    "def locpix(array,xmin,xmax,ymin,ymax,step,vmin,vmax,df,xcol,ycol,vcol,title,xlabel,ylabel,vlabel,cmap,fig_name):\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax, ymin, -1*step))\n",
    "    ixy = 0 \n",
    "    plt.figure(figsize=(8,6))\n",
    "    cs = plt.contourf(xx, yy, array, cmap=cmap,vmin=vmin, vmax=vmax,levels = np.linspace(vmin,vmax,100))\n",
    "    im = plt.scatter(df[xcol],df[ycol],s=None, c=df[vcol], marker=None, cmap=cmap, vmin=vmin, vmax=vmax, alpha=0.8, linewidths=0.8, verts=None, edgecolors=\"black\")\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel(ylabel)\n",
    "    plt.xlim(xmin,xmax)\n",
    "    plt.ylim(ymin,ymax)  \n",
    "    cbar = plt.colorbar(orientation = 'vertical')\n",
    "    cbar.set_label(vlabel, rotation=270, labelpad=20)\n",
    "    plt.savefig(fig_name + '.' + image_type,dpi=dpi)\n",
    "    plt.show()\n",
    "    return cs\n",
    "\n",
    "# pixel plot and location map, reimplementation in Python of a GSLIB MOD with MatPlotLib methods(version for subplots)\n",
    "def locpix_st(array,xmin,xmax,ymin,ymax,step,vmin,vmax,df,xcol,ycol,vcol,title,xlabel,ylabel,vlabel,cmap):\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax, ymin, -1*step))\n",
    "    ixy = 0 \n",
    "    cs = plt.contourf(xx, yy, array, cmap=cmap,vmin=vmin, vmax=vmax,levels = np.linspace(vmin,vmax,100))\n",
    "    im = plt.scatter(df[xcol],df[ycol],s=None, c=df[vcol], marker=None, cmap=cmap, vmin=vmin, vmax=vmax, alpha=0.8, linewidths=0.8, verts=None, edgecolors=\"black\")\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel)  \n",
    "    plt.ylabel(ylabel)\n",
    "    plt.xlim(xmin,xmax)\n",
    "    plt.ylim(ymin,ymax)\n",
    "    cbar = plt.colorbar(orientation = 'vertical')\n",
    "    cbar.set_label(vlabel, rotation=270, labelpad=20)\n",
    "    return cs\n",
    "\n",
    "def locpix_log_st(array,xmin,xmax,ymin,ymax,step,vmin,vmax,df,xcol,ycol,vcol,title,xlabel,ylabel,vlabel,cmap,fig_name):\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax, ymin, -1*step))\n",
    "    ixy = 0 \n",
    "    color_int = np.r_[np.log(vmin):np.log(vmax):0.5]\n",
    "    color_int = np.exp(color_int)\n",
    "    cs = plt.contourf(xx, yy, array, cmap=cmap,vmin=vmin, vmax=vmax,levels = color_int, norm=matplotlib.colors.LogNorm(vmin=vmin, vmax=vmax))\n",
    "    im = plt.scatter(df[xcol],df[ycol],s=None, c=df[vcol], marker=None, cmap=cmap, vmin=vmin, vmax=vmax, alpha=0.8, linewidths=0.8, verts=None, edgecolors=\"black\",norm=matplotlib.colors.LogNorm(vmin=vmin, vmax=vmax))\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel(ylabel)\n",
    "    plt.xlim(xmin,xmax)\n",
    "    plt.ylim(ymin,ymax)\n",
    "    cbar = plt.colorbar(orientation = 'vertical')\n",
    "    cbar.set_label(vlabel, rotation=270, labelpad=20)\n",
    "    return cs\n",
    "\n",
    "# affine distribution correction reimplemented in Python with numpy methods \n",
    "def affine(array,tmean,tstdev):    \n",
    "    if array.ndim != 2:\n",
    "        Print(\"Error: must use a 2D array\")\n",
    "        return\n",
    "    nx = array.shape[0]\n",
    "    ny = array.shape[1]\n",
    "    mean = np.average(array)\n",
    "    stdev = np.std(array)\n",
    "    for iy in range(0,ny):\n",
    "        for ix in range(0,nx):\n",
    "             array[ix,iy] = (tstdev/stdev)*(array[ix,iy] - mean) + tmean  \n",
    "    return(array) \n",
    "\n",
    "# normal score transform, wrapper for nscore from GSLIB (.exe must be in working directory)(not used in this demo)   \n",
    "def nscore(x):\n",
    "    import os\n",
    "    import numpy as np\n",
    "    file = 'nscore_out.dat'\n",
    "    nx = np.ma.size(x); ny = 1\n",
    "    ndarray2GSLIB(x,\"nscore.dat\",\"value\")\n",
    "    file = open(\"nscore.par\", \"w\")\n",
    "    file.write(\"                  Parameters for NSCORE                                    \\n\")\n",
    "    file.write(\"                  *********************                                    \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"nscore.dat           -file with data                                       \\n\")\n",
    "    file.write(\"1   0                    -  columns for variable and weight                \\n\")\n",
    "    file.write(\"-1.0e21   1.0e21         -  trimming limits                                \\n\")\n",
    "    file.write(\"0                        -1=transform according to specified ref. dist.    \\n\")\n",
    "    file.write(\"../histsmth/histsmth.out -  file with reference dist.                      \\n\")\n",
    "    file.write(\"1   2                    -  columns for variable and weight                \\n\")\n",
    "    file.write(\"nscore.out               -file for output                                  \\n\")\n",
    "    file.write(\"nscore.trn               -file for output transformation table             \\n\")\n",
    "    file.close()\n",
    "    \n",
    "    os.system('nscore.exe nscore.par')\n",
    "    file_in = 'nscore.out'\n",
    "    y,name = GSLIB2ndarray('nscore.out',1,nx,ny)\n",
    "    return(y)\n",
    "\n",
    "def make_variogram(nug,nst,it1,cc1,azi1,hmaj1,hmin1,it2=1,cc2=0,azi2=0,hmaj2=0,hmin2=0):\n",
    "    if cc2 == 0:\n",
    "        nst = 1\n",
    "    var = dict([('nug', nug), ('nst', nst), ('it1', it1),('cc1', cc1),('azi1', azi1),('hmaj1', hmaj1), ('hmin1', hmin1), \n",
    "      ('it2', it2),('cc2', cc2),('azi2', azi2),('hmaj2', hmaj2), ('hmin2', hmin2)])\n",
    "    if nug + cc1 + cc2 != 1:\n",
    "        print('\\x1b[0;30;41m make_variogram Warning: sill does not sum to 1.0, do not use in simulation \\x1b[0m')\n",
    "    if cc1 < 0 or cc2 < 0 or nug < 0 or hmaj1 < 0 or hmaj2 < 0 or hmin1 < 0 or hmin2 < 0:\n",
    "        print('\\x1b[0;30;41m make_variogram Warning: contributions and ranges must be all positive \\x1b[0m')\n",
    "    if hmaj1 < hmin1 or hmaj2 < hmin2:\n",
    "        print('\\x1b[0;30;41m make_variogram Warning: major range should be greater than minor range \\x1b[0m')\n",
    "    return var\n",
    "\n",
    "# irregularly sampled variogram, 2D wrapper for gam from GSLIB (.exe must be in working directory)\n",
    "def gamv_2d(df,xcol,ycol,vcol,nlag,lagdist,azi,atol,bstand):\n",
    "    import os\n",
    "    import numpy as np\n",
    "    lag = []; gamma = []; npair = []\n",
    "    df_ext = pd.DataFrame({'X':df[xcol],'Y':df[ycol],'Z':df[vcol]})\n",
    "    Dataframe2GSLIB(\"gamv_out.dat\",df_ext)\n",
    "    file = open(\"gamv.par\", \"w\")\n",
    "    file.write(\"                  Parameters for GAMV                                      \\n\")\n",
    "    file.write(\"                  *******************                                      \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"gamv_out.dat                    -file with data                            \\n\") \n",
    "    file.write(\"1   2   0                         -   columns for X, Y, Z coordinates      \\n\")\n",
    "    file.write(\"1   3   0                         -   number of variables,col numbers      \\n\")\n",
    "    file.write(\"-1.0e21     1.0e21                -   trimming limits                      \\n\")\n",
    "    file.write(\"gamv.out                          -file for variogram output               \\n\")\n",
    "    file.write(str(nlag) + \"                      -number of lags                          \\n\")\n",
    "    file.write(str(lagdist) + \"                       -lag separation distance                 \\n\")\n",
    "    file.write(str(lagdist*0.5) + \"                   -lag tolerance                           \\n\")\n",
    "    file.write(\"1                                 -number of directions                    \\n\")\n",
    "    file.write(str(azi) + \" \" + str(atol) + \" 99999.9 0.0  90.0  50.0  -azm,atol,bandh,dip,dtol,bandv \\n\")\n",
    "    file.write(str(bstand) + \"                    -standardize sills? (0=no, 1=yes)        \\n\")\n",
    "    file.write(\"1                                 -number of variograms                    \\n\")\n",
    "    file.write(\"1   1   1                         -tail var., head var., variogram type    \\n\")\n",
    "    file.close()   \n",
    "\n",
    "    os.system('gamv.exe gamv.par')\n",
    "    reading = True\n",
    "    with open(\"gamv.out\") as myfile:   \n",
    "        head = [next(myfile) for x in range(1)] # skip the first line\n",
    "        iline = 0\n",
    "        while reading:\n",
    "            try:\n",
    "                head = [next(myfile) for x in range(1)]\n",
    "                lag.append(float(head[0].split()[1]))\n",
    "                gamma.append(float(head[0].split()[2]))\n",
    "                npair.append(float(head[0].split()[3]))\n",
    "                iline = iline + 1\n",
    "            except StopIteration:\n",
    "                reading = False   \n",
    "    return(lag,gamma,npair)  \n",
    "\n",
    "# irregular spaced data, 2D wrapper for varmap from GSLIB (.exe must be in working directory)\n",
    "def varmapv_2d(df,xcol,ycol,vcol,nx,ny,lagdist,minpairs,vmax,bstand,title,vlabel):\n",
    "    import os\n",
    "    import numpy as np\n",
    "    \n",
    "    lag = []; gamma = []; npair = []\n",
    "    \n",
    "    df_ext = pd.DataFrame({'X':df[xcol],'Y':df[ycol],'Z':rand_sample[vcol]})\n",
    "    Dataframe2GSLIB(\"varmap_out.dat\",df_ext)\n",
    "    \n",
    "    file = open(\"varmap.par\", \"w\")\n",
    "    \n",
    "    file.write(\"              Parameters for VARMAP                                        \\n\")\n",
    "    file.write(\"              *********************                                        \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"varmap_out.dat          -file with data                                    \\n\")\n",
    "    file.write(\"1   3                        -   number of variables: column numbers       \\n\")\n",
    "    file.write(\"-1.0e21     1.0e21           -   trimming limits                           \\n\")\n",
    "    file.write(\"0                            -1=regular grid, 0=scattered values           \\n\")\n",
    "    file.write(\" 50   50    1                -if =1: nx,     ny,   nz                      \\n\")\n",
    "    file.write(\"1.0  1.0  1.0                -       xsiz, ysiz, zsiz                      \\n\") \n",
    "    file.write(\"1   2   0                    -if =0: columns for x,y, z coordinates        \\n\") \n",
    "    file.write(\"varmap.out                   -file for variogram output                    \\n\")\n",
    "    file.write(str(nx) + \" \" + str(ny) + \" 0 \" + \"-nxlag, nylag, nzlag                     \\n\")\n",
    "    file.write(str(lagdist) + \" \" + str(lagdist) + \" 1.0              -dxlag, dylag, dzlag \\n\")\n",
    "    file.write(str(minpairs) + \"             -minimum number of pairs                      \\n\")\n",
    "    file.write(str(bstand) + \"               -standardize sill? (0=no, 1=yes)              \\n\")\n",
    "    file.write(\"1                            -number of variograms                         \\n\") \n",
    "    file.write(\"1   1   1                    -tail, head, variogram type                   \\n\")\n",
    "    file.close()\n",
    "    \n",
    "    os.system('varmap.exe varmap.par')\n",
    "    nnx = nx*2+1; nny = ny*2+1\n",
    "    varmap, name = GSLIB2ndarray(\"varmap.out\",0,nnx,nny)               \n",
    "          \n",
    "    xmax = ((float(nx)+0.5)*lagdist); xmin = -1*xmax; \n",
    "    ymax = ((float(ny)+0.5)*lagdist); ymin = -1*ymax; \n",
    "    pixelplt(varmap,xmin,xmax,ymin,ymax,lagdist,0,vmax,title,'X','Y',vlabel,cmap)\n",
    "    return(varmap)  \n",
    "\n",
    "# regular spaced data, 2D wrapper for varmap from GSLIB (.exe must be in working directory)\n",
    "def varmap_2d(array,nx,ny,hsiz,nlagx,nlagy,minpairs,vmax,bstand,title,vlabel):\n",
    "    import os\n",
    "    import numpy as np\n",
    "     \n",
    "    ndarray2GSLIB(array,\"varmap_out.dat\",\"gam.dat\")\n",
    "    \n",
    "    file = open(\"varmap.par\", \"w\")\n",
    "    \n",
    "    file.write(\"              Parameters for VARMAP                                        \\n\")\n",
    "    file.write(\"              *********************                                        \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"varmap_out.dat          -file with data                                    \\n\")\n",
    "    file.write(\"1   1                        -   number of variables: column numbers       \\n\")\n",
    "    file.write(\"-1.0e21     1.0e21           -   trimming limits                           \\n\")\n",
    "    file.write(\"1                            -1=regular grid, 0=scattered values           \\n\")\n",
    "    file.write(str(nx) + \" \" + str(ny) + \" 1  -if =1: nx,     ny,   nz                     \\n\")\n",
    "    file.write(str(hsiz) + \" \" + str(hsiz) + \" 1.0  - xsiz, ysiz, zsiz                     \\n\") \n",
    "    file.write(\"1   2   0                    -if =0: columns for x,y, z coordinates        \\n\") \n",
    "    file.write(\"varmap.out                   -file for variogram output                    \\n\")\n",
    "    file.write(str(nlagx) + \" \" + str(nlagy) + \" 0 \" + \"-nxlag, nylag, nzlag               \\n\")\n",
    "    file.write(str(hsiz) + \" \" + str(hsiz) + \" 1.0              -dxlag, dylag, dzlag       \\n\")\n",
    "    file.write(str(minpairs) + \"             -minimum number of pairs                      \\n\")\n",
    "    file.write(str(bstand) + \"               -standardize sill? (0=no, 1=yes)              \\n\")\n",
    "    file.write(\"1                            -number of variograms                         \\n\") \n",
    "    file.write(\"1   1   1                    -tail, head, variogram type                   \\n\")\n",
    "    file.close()\n",
    "    \n",
    "    os.system('varmap.exe varmap.par')\n",
    "    nnx = nlagx*2+1; nny = nlagy*2+1\n",
    "    varmap, name = GSLIB2ndarray(\"varmap.out\",0,nnx,nny)               \n",
    "          \n",
    "    xmax = ((float(nlagx)+0.5)*hsiz); xmin = -1*xmax; \n",
    "    ymax = ((float(nlagy)+0.5)*hsiz); ymin = -1*ymax; \n",
    "    pixelplt(varmap,xmin,xmax,ymin,ymax,hsiz,0,vmax,title,'X','Y',vlabel,cmap)\n",
    "    return(varmap)  \n",
    "\n",
    "# variogram model, 2D wrapper for vmodel from GSLIB (.exe must be in working directory)\n",
    "def vmodel_2d(nlag,step,azi,nug,nst,tstr1,c1,azi1,rmaj1,rmin1,tstr2=1,c2=0,azi2=0,rmaj2=0,rmin2=0):\n",
    "    import os\n",
    "    import numpy as np\n",
    "\n",
    "    lag = []; gamma = []\n",
    "    \n",
    "    file = open(\"vmodel.par\", \"w\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"                  Parameters for VMODEL                                    \\n\")\n",
    "    file.write(\"                  *********************                                    \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"vmodel.var                   -file for variogram output                    \\n\")\n",
    "    file.write(\"1 \" + str(nlag) + \"          -number of directions and lags                \\n\")\n",
    "    file.write(str(azi) + \" 0.0 \" + str(step) + \" -azm, dip, lag distance                  \\n\")\n",
    "    file.write(str(nst) + \" \" + str(nug) + \" -nst, nugget effect                           \\n\")\n",
    "    file.write(str(tstr1) + \" \" + str(c1) + \" \" + str(azi1) + \" 0.0   0.0   0.0 -it,cc,ang1,ang2,ang3 \\n\")\n",
    "    file.write(str(rmaj1) + \" \" + str(rmin1) + \" 0.0 -a_hmax, a_hmin, a_vert               \\n\")\n",
    "    file.write(str(tstr2) + \" \" + str(c2) + \" \" + str(azi2) + \" 0.0   0.0   0.0 -it,cc,ang1,ang2,ang3 \\n\")\n",
    "    file.write(str(rmaj2) + \" \" + str(rmin2) + \" 0.0 -a_hmax, a_hmin, a_vert               \\n\")\n",
    "    file.close()\n",
    "    \n",
    "    os.system('vmodel.exe vmodel.par')\n",
    "    reading = True\n",
    "    with open(\"vmodel.var\") as myfile:   \n",
    "        head = [next(myfile) for x in range(1)] # skip the first line\n",
    "        iline = 0\n",
    "        while reading:\n",
    "            try:\n",
    "                head = [next(myfile) for x in range(1)]\n",
    "                lag.append(float(head[0].split()[1]))\n",
    "                gamma.append(float(head[0].split()[2]))\n",
    "                iline = iline + 1\n",
    "            except StopIteration:\n",
    "                reading = False   \n",
    "    \n",
    "    return(lag,gamma)\n",
    "\n",
    "# cell-based declustering, 2D wrapper for declus from GSLIB (.exe must be in working directory)\n",
    "def declus(df,xcol,ycol,vcol,cmin,cmax,cnum,bmin):\n",
    "    import os\n",
    "    import numpy as np\n",
    "    nrow = len(df)\n",
    "    weights = []\n",
    "    file = 'declus_out.dat'\n",
    "    file_out = open(file, \"w\")\n",
    "    file_out.write('declus_out.dat' + '\\n')  \n",
    "    file_out.write('3' + '\\n')  \n",
    "    file_out.write('x' + '\\n') \n",
    "    file_out.write('y' + '\\n')\n",
    "    file_out.write('value' + '\\n')  \n",
    "    for irow in range(0, nrow):\n",
    "        file_out.write(str(df.iloc[irow][xcol])+' '+str(df.iloc[irow][ycol])+' '+str(df.iloc[irow][vcol])+' \\n')        \n",
    "    file_out.close()\n",
    "    \n",
    "    file = open(\"declus.par\", \"w\")\n",
    "    file.write(\"                  Parameters for DECLUS                                    \\n\")\n",
    "    file.write(\"                  *********************                                    \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"declus_out.dat           -file with data                                   \\n\")\n",
    "    file.write(\"1   2   0   3               -  columns for X, Y, Z, and variable           \\n\")\n",
    "    file.write(\"-1.0e21     1.0e21          -  trimming limits                             \\n\")\n",
    "    file.write(\"declus.sum                  -file for summary output                       \\n\") \n",
    "    file.write(\"declus.out                  -file for output with data & weights           \\n\")\n",
    "    file.write(\"1.0   1.0                   -Y and Z cell anisotropy (Ysize=size*Yanis)    \\n\") \n",
    "    file.write(str(bmin) + \"                -0=look for minimum declustered mean (1=max)   \\n\") \n",
    "    file.write(str(cnum) + \" \" + str(cmin) + \" \" + str(cmax) + \" -number of cell sizes, min size, max size      \\n\")\n",
    "    file.write(\"5                           -number of origin offsets                      \\n\")\n",
    "    file.close()\n",
    "    \n",
    "    os.system('declus.exe declus.par')\n",
    "    df = GSLIB2Dataframe(\"declus.out\")\n",
    "    for irow in range(0, nrow):\n",
    "        weights.append(df.iloc[irow,3])    \n",
    "\n",
    "    return(weights) \n",
    "\n",
    "# sequential Gaussian simulation, 2D unconditional wrapper for sgsim from GSLIB (.exe must be in working directory)\n",
    "def GSLIB_sgsim_2d_uncond(nreal,nx,ny,hsiz,seed,var,output_file):\n",
    "    import os\n",
    "    import numpy as np \n",
    "    \n",
    "    nug = var['nug']\n",
    "    nst = var['nst']; it1 = var['it1']; cc1 = var['cc1']; azi1 = var['azi1']; hmaj1 = var['hmaj1']; hmin1 = var['hmin1'] \n",
    "    it2 = var['it2']; cc2 = var['cc2']; azi2 = var['azi2']; hmaj2 = var['hmaj2']; hmin2 = var['hmin2']     \n",
    "    max_range = max(hmaj1,hmaj2) \n",
    "    hmn = hsiz * 0.5   \n",
    "    hctab = int(max_range/hsiz)*2 + 1\n",
    "    \n",
    "    sim_array = np.random.rand(nx,ny)\n",
    "  \n",
    "    file = open(\"sgsim.par\", \"w\")\n",
    "    file.write(\"              Parameters for SGSIM                                         \\n\")\n",
    "    file.write(\"              ********************                                         \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETER:                                                        \\n\")\n",
    "    file.write(\"none                          -file with data                              \\n\")\n",
    "    file.write(\"1  2  0  3  5  0              -  columns for X,Y,Z,vr,wt,sec.var.          \\n\")\n",
    "    file.write(\"-1.0e21 1.0e21                -  trimming limits                           \\n\")\n",
    "    file.write(\"0                             -transform the data (0=no, 1=yes)            \\n\")\n",
    "    file.write(\"none.trn                      -  file for output trans table               \\n\")\n",
    "    file.write(\"1                             -  consider ref. dist (0=no, 1=yes)          \\n\")\n",
    "    file.write(\"none.dat                      -  file with ref. dist distribution          \\n\")\n",
    "    file.write(\"1  0                          -  columns for vr and wt                     \\n\")\n",
    "    file.write(\"-4.0    4.0                   -  zmin,zmax(tail extrapolation)             \\n\")\n",
    "    file.write(\"1      -4.0                   -  lower tail option, parameter              \\n\")\n",
    "    file.write(\"1       4.0                   -  upper tail option, parameter              \\n\")\n",
    "    file.write(\"0                             -debugging level: 0,1,2,3                    \\n\")\n",
    "    file.write(\"nonw.dbg                      -file for debugging output                   \\n\")\n",
    "    file.write(str(output_file) + \"           -file for simulation output                  \\n\")\n",
    "    file.write(str(nreal) + \"                 -number of realizations to generate          \\n\")\n",
    "    file.write(str(nx) + \" \" + str(hmn) + \" \" + str(hsiz) + \"                              \\n\")\n",
    "    file.write(str(ny) + \" \" + str(hmn) + \" \" + str(hsiz) + \"                              \\n\")\n",
    "    file.write(\"1 0.0 1.0                     - nz zmn zsiz                                \\n\")\n",
    "    file.write(str(seed) + \"                  -random number seed                          \\n\")\n",
    "    file.write(\"0     8                       -min and max original data for sim           \\n\")\n",
    "    file.write(\"12                            -number of simulated nodes to use            \\n\")\n",
    "    file.write(\"0                             -assign data to nodes (0=no, 1=yes)          \\n\")\n",
    "    file.write(\"1     3                       -multiple grid search (0=no, 1=yes),num      \\n\")\n",
    "    file.write(\"0                             -maximum data per octant (0=not used)        \\n\")\n",
    "    file.write(str(max_range) + \" \" + str(max_range) + \" 1.0 -maximum search  (hmax,hmin,vert) \\n\")\n",
    "    file.write(str(azi1) + \"   0.0   0.0       -angles for search ellipsoid                 \\n\")\n",
    "    file.write(str(hctab) + \" \" + str(hctab) + \" 1 -size of covariance lookup table        \\n\")\n",
    "    file.write(\"0     0.60   1.0              -ktype: 0=SK,1=OK,2=LVM,3=EXDR,4=COLC        \\n\")\n",
    "    file.write(\"none.dat                      -  file with LVM, EXDR, or COLC variable     \\n\")\n",
    "    file.write(\"4                             -  column for secondary variable             \\n\")\n",
    "    file.write(str(nst) + \" \" + str(nug) + \"  -nst, nugget effect                          \\n\")\n",
    "    file.write(str(it1) + \" \" + str(cc1) + \" \" +str(azi1) + \" 0.0 0.0 -it,cc,ang1,ang2,ang3\\n\")\n",
    "    file.write(\" \" + str(hmaj1) + \" \" + str(hmin1) + \" 1.0 - a_hmax, a_hmin, a_vert        \\n\")\n",
    "    file.write(str(it2) + \" \" + str(cc2) + \" \" +str(azi2) + \" 0.0 0.0 -it,cc,ang1,ang2,ang3\\n\")\n",
    "    file.write(\" \" + str(hmaj2) + \" \" + str(hmin2) + \" 1.0 - a_hmax, a_hmin, a_vert        \\n\")  \n",
    "    file.close()\n",
    "\n",
    "    os.system('\"sgsim.exe sgsim.par\"')       \n",
    "    sim_array = GSLIB2ndarray(output_file,0,nx,ny)         \n",
    "    return(sim_array[0])\n",
    "\n",
    "# kriging estimation, 2D wrapper for kb2d from GSLIB (.exe must be in working directory)\n",
    "def GSLIB_kb2d_2d(df,xcol,ycol,vcol,nx,ny,hsiz,var,output_file):\n",
    "    import os\n",
    "    import numpy as np \n",
    "    \n",
    "    X = df[xcol]; Y = df[ycol]; V = df[vcol]\n",
    "    var_min = V.values.min();var_max = V.values.max()\n",
    "    df_temp = pd.DataFrame({'X': X, 'Y': Y, 'Var': V})   \n",
    "    Dataframe2GSLIB('data_temp.dat',df_temp)\n",
    "    \n",
    "    nug = var['nug']\n",
    "    nst = var['nst']; it1 = var['it1']; cc1 = var['cc1']; azi1 = var['azi1']; hmaj1 = var['hmaj1']; hmin1 = var['hmin1'] \n",
    "    it2 = var['it2']; cc2 = var['cc2']; azi2 = var['azi2']; hmaj2 = var['hmaj2']; hmin2 = var['hmin2']     \n",
    "    max_range = max(hmaj1,hmaj2) \n",
    "    hmn = hsiz * 0.5   \n",
    "    hctab = int(max_range/hsiz)*2 + 1\n",
    "    \n",
    "    est_array = np.random.rand(nx,ny)\n",
    "    var_array = np.random.rand(nx,ny)\n",
    "  \n",
    "    file = open(\"kb2d.par\", \"w\")\n",
    "    file.write(\"              Parameters for KB2D                                          \\n\")\n",
    "    file.write(\"              ********************                                         \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETER:                                                        \\n\")\n",
    "    file.write(\"data_temp.dat                         -file with data                      \\n\")\n",
    "    file.write(\"1  2  3                               -  columns for X,Y,vr                \\n\")\n",
    "    file.write(\"-1.0e21   1.0e21                      -   trimming limits                  \\n\")\n",
    "    file.write(\"0                                     -debugging level: 0,1,2,3            \\n\")\n",
    "    file.write(\"none.dbg                              -file for debugging output           \\n\")\n",
    "    file.write(str(output_file) + \"                   -file for kriged output              \\n\")\n",
    "    file.write(str(nx) + \" \" + str(hmn) + \" \" + str(hsiz) + \"                              \\n\")\n",
    "    file.write(str(ny) + \" \" + str(hmn) + \" \" + str(hsiz) + \"                              \\n\")               \n",
    "    file.write(\"1    1                                -x and y block discretization        \\n\")\n",
    "    file.write(\"1    30                               -min and max data for kriging        \\n\")\n",
    "    file.write(str(max_range) + \"                     -maximum search radius               \\n\")\n",
    "    file.write(\"1    -9999.9                          -0=SK, 1=OK,  (mean if SK)           \\n\") \n",
    "    file.write(str(nst) + \" \" + str(nug) + \"          -nst, nugget effect                  \\n\")\n",
    "    file.write(str(it1) + \" \" + str(cc1) + \" \" + str(azi1) + \" \" + str(hmaj1) + \" \" +  str(hmin1) + \" -it, c ,azm ,a_max ,a_min \\n\")  \n",
    "    file.write(str(it2) + \" \" + str(cc2) + \" \" + str(azi2) + \" \" + str(hmaj2) + \" \" +  str(hmin2) + \" -it, c ,azm ,a_max ,a_min \\n\")   \n",
    "    file.close()\n",
    "\n",
    "    os.system('\"kb2d.exe kb2d.par\"')       \n",
    "    est_array = GSLIB2ndarray(output_file,0,nx,ny) \n",
    "    var_array = GSLIB2ndarray(output_file,1,nx,ny) \n",
    "    return(est_array[0],var_array[0])\n",
    "\n",
    "# sequential Gaussian simulation, 2D wrapper for sgsim from GSLIB (.exe must be in working directory)\n",
    "def GSLIB_sgsim_2d(nreal,df,xcol,ycol,vcol,nx,ny,hsiz,seed,var,output_file):\n",
    "    import os\n",
    "    import numpy as np \n",
    "    \n",
    "    X = df[xcol]; Y = df[ycol]; V = df[vcol]\n",
    "    var_min = V.values.min();var_max = V.values.max()\n",
    "    df_temp = pd.DataFrame({'X': X, 'Y': Y, 'Var': V})   \n",
    "    Dataframe2GSLIB('data_temp.dat',df_temp)\n",
    "    \n",
    "    nug = var['nug']\n",
    "    nst = var['nst']; it1 = var['it1']; cc1 = var['cc1']; azi1 = var['azi1']; hmaj1 = var['hmaj1']; hmin1 = var['hmin1'] \n",
    "    it2 = var['it2']; cc2 = var['cc2']; azi2 = var['azi2']; hmaj2 = var['hmaj2']; hmin2 = var['hmin2']     \n",
    "    max_range = max(hmaj1,hmaj2) \n",
    "    hmn = hsiz * 0.5   \n",
    "    hctab = int(max_range/hsiz)*2 + 1\n",
    "    \n",
    "    sim_array = np.random.rand(nx,ny)\n",
    "  \n",
    "    file = open(\"sgsim.par\", \"w\")\n",
    "    file.write(\"              Parameters for SGSIM                                         \\n\")\n",
    "    file.write(\"              ********************                                         \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETER:                                                        \\n\")\n",
    "    file.write(\"data_temp.dat                 -file with data                              \\n\")\n",
    "    file.write(\"1  2  0  3  0  0              -  columns for X,Y,Z,vr,wt,sec.var.          \\n\")\n",
    "    file.write(\"-1.0e21 1.0e21                -  trimming limits                           \\n\")\n",
    "    file.write(\"1                             -transform the data (0=no, 1=yes)            \\n\")\n",
    "    file.write(\"none.trn                      -  file for output trans table               \\n\")\n",
    "    file.write(\"0                             -  consider ref. dist (0=no, 1=yes)          \\n\")\n",
    "    file.write(\"none.dat                      -  file with ref. dist distribution          \\n\")\n",
    "    file.write(\"1  0                          -  columns for vr and wt                     \\n\")\n",
    "    file.write(str(var_min) + \" \" + str(var_max) + \"   zmin,zmax(tail extrapolation)       \\n\")\n",
    "    file.write(\"1   \" + str(var_min) + \"      -  lower tail option, parameter              \\n\")\n",
    "    file.write(\"1   \" + str(var_max) + \"      -  upper tail option, parameter              \\n\")\n",
    "    file.write(\"0                             -debugging level: 0,1,2,3                    \\n\")\n",
    "    file.write(\"nonw.dbg                      -file for debugging output                   \\n\")\n",
    "    file.write(str(output_file) + \"           -file for simulation output                  \\n\")\n",
    "    file.write(str(nreal) + \"                 -number of realizations to generate          \\n\")\n",
    "    file.write(str(nx) + \" \" + str(hmn) + \" \" + str(hsiz) + \"                              \\n\")\n",
    "    file.write(str(ny) + \" \" + str(hmn) + \" \" + str(hsiz) + \"                              \\n\")\n",
    "    file.write(\"1 0.0 1.0                     - nz zmn zsiz                                \\n\")\n",
    "    file.write(str(seed) + \"                  -random number seed                          \\n\")\n",
    "    file.write(\"0     8                       -min and max original data for sim           \\n\")\n",
    "    file.write(\"12                            -number of simulated nodes to use            \\n\")\n",
    "    file.write(\"0                             -assign data to nodes (0=no, 1=yes)          \\n\")\n",
    "    file.write(\"1     3                       -multiple grid search (0=no, 1=yes),num      \\n\")\n",
    "    file.write(\"0                             -maximum data per octant (0=not used)        \\n\")\n",
    "    file.write(str(max_range) + \" \" + str(max_range) + \" 1.0 -maximum search  (hmax,hmin,vert) \\n\")\n",
    "    file.write(str(azi1) + \"   0.0   0.0       -angles for search ellipsoid                 \\n\")\n",
    "    file.write(str(hctab) + \" \" + str(hctab) + \" 1 -size of covariance lookup table        \\n\")\n",
    "    file.write(\"0     0.60   1.0              -ktype: 0=SK,1=OK,2=LVM,3=EXDR,4=COLC        \\n\")\n",
    "    file.write(\"none.dat                      -  file with LVM, EXDR, or COLC variable     \\n\")\n",
    "    file.write(\"4                             -  column for secondary variable             \\n\")\n",
    "    file.write(str(nst) + \" \" + str(nug) + \"  -nst, nugget effect                          \\n\")\n",
    "    file.write(str(it1) + \" \" + str(cc1) + \" \" +str(azi1) + \" 0.0 0.0 -it,cc,ang1,ang2,ang3\\n\")\n",
    "    file.write(\" \" + str(hmaj1) + \" \" + str(hmin1) + \" 1.0 - a_hmax, a_hmin, a_vert        \\n\")\n",
    "    file.write(str(it2) + \" \" + str(cc2) + \" \" +str(azi2) + \" 0.0 0.0 -it,cc,ang1,ang2,ang3\\n\")\n",
    "    file.write(\" \" + str(hmaj2) + \" \" + str(hmin2) + \" 1.0 - a_hmax, a_hmin, a_vert        \\n\")  \n",
    "    file.close()\n",
    "\n",
    "    os.system('\"sgsim.exe sgsim.par\"')       \n",
    "    sim_array = GSLIB2ndarray(output_file,0,nx,ny)         \n",
    "    return(sim_array[0])\n",
    "\n",
    "# sequential Gaussian simulation, 2D unconditional wrapper for sgsim from GSLIB (.exe must be in working directory)\n",
    "def GSLIB_cosgsim_2d_uncond(nreal,nx,ny,hsiz,seed,var,sec,correl,output_file):\n",
    "    import os\n",
    "    import numpy as np \n",
    "    nug = var['nug']\n",
    "    nst = var['nst']; it1 = var['it1']; cc1 = var['cc1']; azi1 = var['azi1']; hmaj1 = var['hmaj1']; hmin1 = var['hmin1'] \n",
    "    it2 = var['it2']; cc2 = var['cc2']; azi2 = var['azi2']; hmaj2 = var['hmaj2']; hmin2 = var['hmin2'] \n",
    "          \n",
    "    max_range = max(hmaj1,hmaj2)    \n",
    "    hmn = hsiz * 0.5   \n",
    "    hctab = int(max_range/hsiz)*2 + 1\n",
    "    sim_array = np.random.rand(nx,ny)\n",
    "    \n",
    "    ndarray2GSLIB(sec,\"sec.dat\",'sec_dat')\n",
    "  \n",
    "    file = open(\"sgsim.par\", \"w\")\n",
    "    file.write(\"              Parameters for SGSIM                                         \\n\")\n",
    "    file.write(\"              ********************                                         \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETER:                                                        \\n\")\n",
    "    file.write(\"none                          -file with data                              \\n\")\n",
    "    file.write(\"1  2  0  3  5  0              -  columns for X,Y,Z,vr,wt,sec.var.          \\n\")\n",
    "    file.write(\"-1.0e21 1.0e21                -  trimming limits                           \\n\")\n",
    "    file.write(\"0                             -transform the data (0=no, 1=yes)            \\n\")\n",
    "    file.write(\"none.trn                      -  file for output trans table               \\n\")\n",
    "    file.write(\"0                             -  consider ref. dist (0=no, 1=yes)          \\n\")\n",
    "    file.write(\"none.dat                      -  file with ref. dist distribution          \\n\")\n",
    "    file.write(\"1  0                          -  columns for vr and wt                     \\n\")\n",
    "    file.write(\"-4.0    4.0                   -  zmin,zmax(tail extrapolation)             \\n\")\n",
    "    file.write(\"1      -4.0                   -  lower tail option, parameter              \\n\")\n",
    "    file.write(\"1       4.0                   -  upper tail option, parameter              \\n\")\n",
    "    file.write(\"0                             -debugging level: 0,1,2,3                    \\n\")\n",
    "    file.write(\"nonw.dbg                      -file for debugging output                   \\n\")\n",
    "    file.write(str(output_file) + \"           -file for simulation output                  \\n\")\n",
    "    file.write(str(nreal) + \"                 -number of realizations to generate          \\n\")\n",
    "    file.write(str(nx) + \" \" + str(hmn) + \" \" + str(hsiz) + \"                              \\n\")\n",
    "    file.write(str(ny) + \" \" + str(hmn) + \" \" + str(hsiz) + \"                              \\n\")\n",
    "    file.write(\"1 0.0 1.0                     - nz zmn zsiz                                \\n\")\n",
    "    file.write(str(seed) + \"                  -random number seed                          \\n\")\n",
    "    file.write(\"0     8                       -min and max original data for sim           \\n\")\n",
    "    file.write(\"12                            -number of simulated nodes to use            \\n\")\n",
    "    file.write(\"0                             -assign data to nodes (0=no, 1=yes)          \\n\")\n",
    "    file.write(\"1     3                       -multiple grid search (0=no, 1=yes),num      \\n\")\n",
    "    file.write(\"0                             -maximum data per octant (0=not used)        \\n\")\n",
    "    file.write(str(max_range) + \" \" + str(max_range) + \" 1.0 -maximum search  (hmax,hmin,vert) \\n\")\n",
    "    file.write(str(azi1) + \"   0.0   0.0       -angles for search ellipsoid                 \\n\")\n",
    "    file.write(str(hctab) + \" \" + str(hctab) + \" 1 -size of covariance lookup table        \\n\")\n",
    "    file.write(\"4 \" + str(correl) + \" 1.0     -ktype: 0=SK,1=OK,2=LVM,3=EXDR,4=COLC        \\n\")\n",
    "    file.write(\"sec.dat                       -  file with LVM, EXDR, or COLC variable     \\n\")\n",
    "    file.write(\"1                             -  column for secondary variable             \\n\")\n",
    "    file.write(str(nst) + \" \" + str(nug) + \"  -nst, nugget effect                          \\n\")\n",
    "    file.write(str(it1) + \" \" + str(cc1) + \" \" +str(azi1) + \" 0.0 0.0 -it,cc,ang1,ang2,ang3 \\n\")\n",
    "    file.write(\" \" + str(hmaj1) + \" \" + str(hmin1) + \" 1.0 - a_hmax, a_hmin, a_vert        \\n\")\n",
    "    file.write(str(it2) + \" \" + str(cc2) + \" \" +str(azi2) + \" 0.0 0.0 -it,cc,ang1,ang2,ang3 \\n\")\n",
    "    file.write(\" \" + str(hmaj2) + \" \" + str(hmin2) + \" 1.0 - a_hmax, a_hmin, a_vert        \\n\")    \n",
    "    file.close()\n",
    "\n",
    "    os.system('\"sgsim.exe sgsim.par\"')       \n",
    "    sim_array = GSLIB2ndarray(output_file,0,nx,ny)         \n",
    "    return(sim_array[0])\n",
    "\n",
    "# sample with provided X and Y and append to DataFrame   \n",
    "def sample(array,xmin,xmax,ymin,ymax,step,name,df,xcol,ycol):\n",
    "    if array.ndim == 2:\n",
    "        ny = (array.shape[0])\n",
    "        nx = (array.shape[1])\n",
    "    else:\n",
    "        print('Array must be 2D')\n",
    "    x = []; y = []; v = []\n",
    "    nsamp = len(df)\n",
    "    for isamp in range(0,nsamp):\n",
    "        x = df.iloc[isamp][xcol]\n",
    "        y = df.iloc[isamp][ycol]\n",
    "        iy = min(ny - int((y - ymin)/step) - 1,ny-1)\n",
    "        ix = min(int((x - xmin)/step), nx - 1)\n",
    "        v.append(array[iy,ix])\n",
    "    df[name] = v\n",
    "    return(df) \n",
    "\n",
    "def gkern(kernlen=21, std=3):  # Stack overflow solution from Teddy Hartano\n",
    "    \"\"\"Returns a 2D Gaussian kernel array.\"\"\"\n",
    "    gkern1d = signal.gaussian(kernlen, std=std).reshape(kernlen, 1)\n",
    "    gkern2d = np.outer(gkern1d, gkern1d)\n",
    "    return gkern2d\n",
    "\n",
    "# extract regular spaced samples from a model   \n",
    "def regular_sample(array,xmin,xmax,ymin,ymax,step,mx,my,name):\n",
    "    x = []; y = []; v = []; iix = 0; iiy = 0;\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax, ymin, -1*step))\n",
    "    iiy = 0\n",
    "    for iy in range(0,ny):\n",
    "        if iiy >= my:\n",
    "            iix = 0\n",
    "            for ix in range(0,nx):\n",
    "                if iix >= mx:\n",
    "                    x.append(xx[ix,iy]);y.append(yy[ix,iy]); v.append(array[ix,iy])\n",
    "                    iix = 0; iiy = 0\n",
    "                iix = iix + 1\n",
    "        iiy = iiy + 1\n",
    "    df = pd.DataFrame(np.c_[x,y,v],columns=['X', 'Y', name])\n",
    "    return(df)\n",
    "\n",
    "def random_sample(array,xmin,xmax,ymin,ymax,step,nsamp,name):\n",
    "    import random as rand\n",
    "    x = []; y = []; v = []; iix = 0; iiy = 0;\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax-1, ymin-1, -1*step))\n",
    "    ny = xx.shape[0]\n",
    "    nx = xx.shape[1]\n",
    "    sample_index = rand.sample(range((nx)*(ny)), nsamp)\n",
    "    for isamp in range(0,nsamp):\n",
    "        iy = int(sample_index[isamp]/ny)\n",
    "        ix = sample_index[isamp] - iy*nx\n",
    "        x.append(xx[iy,ix])\n",
    "        y.append(yy[iy,ix])\n",
    "        v.append(array[iy,ix])\n",
    "    df = pd.DataFrame(np.c_[x,y,v],columns=['X', 'Y', name])\n",
    "    return(df) \n",
    "\n",
    "# Take spatial data from a DataFrame and make a sparse ndarray (NaN where no data in cell)\n",
    "def DataFrame2ndarray(df,xcol,ycol,vcol,xmin,xmax,ymin,ymax,step):\n",
    "    x = []; y = []; v = []; iix = 0; iiy = 0;\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax-1, ymin-1, -1*step))\n",
    "    ny = xx.shape[0]\n",
    "    nx = xx.shape[1]\n",
    "    array = np.full((ny,nx),np.nan)\n",
    "    nsamp = len(df)\n",
    "    sample_index = rand.sample(range((nx)*(ny)), nsamp)\n",
    "    for isamp in range(0,nsamp):\n",
    "        iy = min(ny-1,ny - int( (df.iloc[isamp][ycol] - ymin)/step ) - 1) \n",
    "        ix = min(nx-1,int( (df.iloc[isamp][xcol] - xmin)/step ))   \n",
    "        array[iy,ix] = df.iloc[isamp][vcol]        \n",
    "    return(array) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Examples / Demonstrations\n",
    "\n",
    "Note this is just a set of workflows steps / operations to provide examples of using the functions and not an attemp to provide a comprehensive workflow nor any guidance on best practice.\n",
    "\n",
    "#### Set the working directory\n",
    "\n",
    "I always like to do this so I don't lose files and to simplify subsequent read and writes (avoid including the full address each time). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(\"c:/PGE383\")                                   # set the working directory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The Model Parameters\n",
    "\n",
    "Let's set the modeling parameters, the model grid, the random seed, the target distribution, and color bar.  We will use these for testing the GeostatPy functions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Modeling parameters, the model grid, the random seed, the target distribution, and color bar\n",
    "nx = 100; ny = 100; cell_size = 10                               # grid number of cells and cell size\n",
    "xmin = 0.0; ymin = 0.0;                                          # grid origin\n",
    "xmax = xmin + nx * cell_size; ymax = ymin + ny * cell_size       # calculate the extent of model\n",
    "seed = rand.randint(7000,8000)                                   # random number seed  for stochastic simulation    \n",
    "mean = 10.0; stdev = 2.0                                         # Porosity mean and standard deviation\n",
    "vmin = 4; vmax = 16; cmap = plt.cm.plasma                        # color min and max and using the plasma color map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.contour.QuadContourSet at 0x1c78618eac8>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make a truth model / unconditional simulation\n",
    "por_mean = 0.18; por_stdev = 0.05; por_cmin = 0.0; por_cmax = 0.3\n",
    "var = make_variogram(nug=0.0,nst=1,it1=1,cc1=1.0,azi1=90.0,hmaj1=500.0,hmin1=250.0)\n",
    "porosity_truth = GSLIB_sgsim_2d_uncond(1,nx,ny,cell_size,seed + 3,var,\"Porosity\")\n",
    "porosity_truth = affine(porosity_truth,por_mean,por_stdev)\n",
    "pixelplt_st(porosity_truth,xmin,xmax,ymin,ymax,cell_size,por_cmin,por_cmax,\"Porosity Truth\",\"X(m)\",\"Y(m)\",\"Porosity (%)\",cmap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make a datset by sampling from the truth model, and display the histogram and location map\n",
    "mx = 10; my = 10\n",
    "sample_data1 = regular_sample(porosity_truth,xmin,xmax,ymin,ymax,cell_size,mx,my,\"Porosity\")\n",
    "nsamp_random = rand.randint(10,50)\n",
    "sample_data2 = random_sample(porosity_truth,xmin,xmax,ymin,ymax,cell_size,nsamp_random,'Porosity')\n",
    "sample_data = pd.concat([sample_data1,sample_data2],ignore_index = True)\n",
    "\n",
    "plt.subplot(121)\n",
    "locmap_st(sample_data,'X','Y','Porosity',xmin,xmax,ymin,ymax,por_cmin,por_cmax,'Porosity Samples','X(m)','Y(m)','Porosity',cmap)\n",
    "\n",
    "plt.subplot(122)\n",
    "hist_st(sample_data['Porosity'],por_cmin,por_cmax,log=False,cumul=False,bins=10,weights=None,xlabel=\"Porosity (%)\",title=\"Porosity Samples\")\n",
    "plt.ylim(0.0,50)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=3.0, top=1.5, wspace=0.2, hspace=0.2)\n",
    "plt.savefig('PorositySamples.tif',dpi=600,bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Porosity</th>\n",
       "      <th>NPor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100.0</td>\n",
       "      <td>900.0</td>\n",
       "      <td>0.249340</td>\n",
       "      <td>1.20036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>0.165778</td>\n",
       "      <td>-0.56805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>0.185706</td>\n",
       "      <td>-0.06271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>0.219606</td>\n",
       "      <td>0.65884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>0.202858</td>\n",
       "      <td>0.31864</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       X      Y  Porosity     NPor\n",
       "0  100.0  900.0  0.249340  1.20036\n",
       "1  100.0  800.0  0.165778 -0.56805\n",
       "2  100.0  700.0  0.185706 -0.06271\n",
       "3  100.0  600.0  0.219606  0.65884\n",
       "4  100.0  500.0  0.202858  0.31864"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Normal score transform\n",
    "sample_data['NPor'] = nscore(sample_data['Porosity'].values)\n",
    "sample_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check the porosity normal score transformed distribution\n",
    "plt.subplot(121)\n",
    "hist_st(sample_data['Porosity'],por_cmin,por_cmax,log=False,cumul=False,bins=20,weights=None,xlabel=\"Porosity (%)\",title=\"Porosity Samples\")\n",
    "plt.ylim(0.0,20)\n",
    "\n",
    "plt.subplot(122)\n",
    "hist_st(sample_data['NPor'],-3,3,log=False,cumul=False,bins=20,weights=None,xlabel=\"Normal Score Porosity\",title=\"Normal Score Porosity Samples\")\n",
    "plt.ylim(0.0,20)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=3.0, top=1.5, wspace=0.2, hspace=0.2)\n",
    "#plt.savefig('F4_Eg_EUR_Real_Pad.tif',dpi=600,bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate sample porosity data isotropic variogram\n",
    "lag_dist = 100.0; nlag = 7; azi = 0; atol = 90.0; bstand = 1\n",
    "\n",
    "lag, por_gamma, por_npair = gamv_2d(sample_data,\"X\",\"Y\",\"NPor\",nlag,lag_dist,azi,atol,bstand)\n",
    "\n",
    "plt.subplot(121)\n",
    "plt.plot(lag,por_gamma,'x',color = 'black',label = 'Porosity')\n",
    "plt.plot([0,2000],[1.0,1.0],color = 'black')\n",
    "plt.xlabel(r'Lag Distance $\\bf(h)$, (m)')\n",
    "plt.ylabel(r'$\\gamma \\bf(h)$')\n",
    "plt.title('Isotropic Standardized Porosity Variogram')\n",
    "plt.xlim([0,700])\n",
    "plt.ylim([0,1.8])\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.0, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Kriging extimation map\n",
    "porosity_est,porosity_var = GSLIB_kb2d_2d(sample_data,'X','Y','Porosity',nx,ny,cell_size,var,\"Porosity_Krige\")\n",
    "\n",
    "plt.subplot(121)\n",
    "locpix_st(porosity_est,xmin,xmax,ymin,ymax,cell_size,por_cmin,por_cmax,sample_data,'X','Y','Porosity','Porosity Ordinary Kriging','X(m)','Y(m)','Porosity (%)',cmap)\n",
    "\n",
    "plt.subplot(122)\n",
    "locpix_st(porosity_var,xmin,xmax,ymin,ymax,cell_size,0.0,1.0,sample_data,'X','Y','Porosity','Porosity Ord Kriging Var','X(m)','Y(m)','Porosity Est Var(%)',cmap)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=3.0, top=1.5, wspace=0.2, hspace=0.2)\n",
    "plt.savefig('PorosityKriged.tif',dpi=600,bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.contour.QuadContourSet at 0x1c782ae9f28>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Conditional simulation - make 1 structure variogram, simulate, transform distribution and visualize\n",
    "var = make_variogram(nug=0.1,nst=1,it1=1,cc1=0.9,azi1=90,hmaj1=500,hmin1=250)\n",
    "cond_por_sim = GSLIB_sgsim_2d(1,sample_data,'X','Y','Porosity',nx,ny,cell_size,seed,var,'simulation_cond.out')\n",
    "locpix(cond_por_sim,xmin,xmax,ymin,ymax,cell_size,por_cmin,por_cmax,sample_data,'X','Y','Porosity','Porosity Conditional Simulation','X(m)','Y(m)','Porosity (%)',cmap,\"Cond_Por_Sim\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# simulate permeability from porosity \n",
    "perm_cmin = 0.0; perm_cmax = 1000\n",
    "perm_mu = 2.0; perm_sigma = 2.0\n",
    "correl = 0.9\n",
    "var_perm = make_variogram(nug=0.0,nst=1,it1=1,cc1=1.0,azi1=90.0,hmaj1=400.0,hmin1=150.0)\n",
    "cond_perm_sim = GSLIB_cosgsim_2d_uncond(1,nx,ny,cell_size,seed + 5,var_perm,cond_por_sim,correl,\"perm_truth.out\")\n",
    "cond_perm_sim = affine(cond_perm_sim,perm_mu,perm_sigma)  \n",
    "cond_perm_sim = np.exp(cond_perm_sim)\n",
    "\n",
    "plt.subplot(321)\n",
    "pixelplt_st(cond_por_sim,xmin,xmax,ymin,ymax,cell_size,por_cmin,por_cmax,\"Porosity Simulation\",\"X(m)\",\"Y(m)\",\"Porosity (%)\",cmap)\n",
    "\n",
    "plt.subplot(322)\n",
    "hist_st(cond_por_sim.flatten(),por_cmin,por_cmax,log=False,cumul=False,bins=20,weights=None,xlabel=\"Porosity (%)\",title=\"Porosity Simulation\")\n",
    "\n",
    "plt.subplot(323)\n",
    "pixelplt_st(cond_perm_sim,xmin,xmax,ymin,ymax,cell_size,perm_cmin,perm_cmax,\"Permeability CoSimulation\",\"X(m)\",\"Y(m)\",\"Permeability (mD)\",cmap)\n",
    "\n",
    "plt.subplot(324)\n",
    "hist_st(cond_perm_sim.flatten(),perm_cmin,perm_cmax,log=False,cumul=False,bins=20,weights=None,xlabel=\"Permeability (mD)\",title=\"Permeability CoSimulation\")\n",
    "\n",
    "plt.subplot(325)\n",
    "plt.scatter(cond_por_sim.flatten(),cond_perm_sim.flatten(), c = \"black\", marker='o', alpha = 0.2, edgecolors = \"none\")\n",
    "plt.xlabel('Porosity (%)')\n",
    "plt.ylabel('Permeability (mD)')\n",
    "plt.title('Permeability vs. Porosity')\n",
    "plt.ylim(0.001,1000)\n",
    "plt.yscale('log')\n",
    "plt.xlim(0,0.3)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=1.5, top=3.0, wspace=0.3, hspace=0.3)\n",
    "#plt.savefig('F4_Eg_EUR_Real_Pad.tif',dpi=600,bbox_inches=\"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Comments\n",
    "\n",
    "With this basic workflow it would be possible to calculate variograms in Python for any spatial dataset.  Appreciation to Adrian Martinez Vargas for the useful package, it has assisted with teaching geostatistics to my students.   \n",
    "\n",
    "*Michael*\n",
    "\n",
    "Michael Pyrcz, Ph.D., P.Eng. Associate Professor The Hildebrand Department of Petroleum and Geosystems Engineering, Bureau of Economic Geology, The Jackson School of Geosciences, The University of Texas at Austin\n",
    "\n",
    "On twitter I'm the @GeostatsGuy.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
